Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms

@inproceedings{Kiran2011NovelTT,
  title={Novel techniques to reduce search space in multiple minimum supports-based frequent pattern mining algorithms},
  author={R. Uday Kiran and P. Krishna Reddy},
  booktitle={EDBT},
  year={2011}
}
Frequent patterns are an important class of regularities that exist in a transaction database. Certain frequent patterns with low minimum support (minsup) value can provide useful information in many real-world applications. However, extraction of these frequent patterns with single minsup-based frequent pattern mining algorithms such as Apriori and FP-growth leads to "rare item problem." That is, at high minsup value, the frequent patterns with low minsup are missed, and at low minsup value… CONTINUE READING
31 Citations
5 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 31 extracted citations

Similar Papers

Loading similar papers…